Xiao‐Shan Wei
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Circular RNAs in diseases 3
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Qiong Zhou (22 shared papers)Xuan Xiang (14 shared papers)Bohan Yang (4 shared papers)Linlin Ye (17 shared papers)Wan‐Li Ma (3 shared papers)Xu Wang (3 shared papers)Zi-Hao Wang (4 shared papers)Xin‐Liang He (3 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Journal for ImmunoTherapy of Cancer (2 papers)OncoImmunology (1 paper)Translational Oncology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaCanadaSwitzerland
In The Last Decade
Xiao‐Shan Wei
26 papers receiving 1.2k citations
Xiao‐Shan Wei's Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 663
- Neurology 169
- Immunology 223
- Modeling and Simulation 45
- Oncology 138
Countries citing papers authored by Xiao‐Shan Wei
This map shows the geographic impact of Xiao‐Shan Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiao‐Shan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Shan Wei more than expected).
Fields of papers citing papers by Xiao‐Shan Wei
This network shows the impact of papers produced by Xiao‐Shan Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiao‐Shan Wei. The network helps show where Xiao‐Shan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Shan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antibody Detection and Dynamic Characteristics in Patients With Coronavirus Disease 2019 Hit paper breakdown → | 2020 | 381 |
| 2 | 2020 | 277 | |
| 3 | 2020 | 104 | |
| 4 | 2018 | 78 | |
| 5 | 2020 | 71 | |
| 6 | 2022 | 52 | |
| 7 | 2023 | 46 | |
| 8 | 2021 | 29 | |
| 9 | 2024 | 26 | |
| 10 | 2020 | 26 | |
| 11 | 2023 | 23 | |
| 12 | 2020 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 9 |
About Xiao‐Shan Wei
Xiao‐Shan Wei is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), COVID-19 Clinical Research Studies (4 papers), Circular RNAs in diseases (3 papers), Pleural and Pulmonary Diseases (3 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Infectious Diseases (663 citations), Neurology (169 citations), Immunology (223 citations), Modeling and Simulation (45 citations) and Oncology (138 citations). Xiao‐Shan Wei has collaborated with scholars based in China, Canada and Switzerland. Frequent co-authors include Qiong Zhou, Xuan Xiang, Bohan Yang, Linlin Ye, Wan‐Li Ma, Xu Wang, Zi-Hao Wang, Xin‐Liang He, Yanling Ma and Hui Li. Their work appears in journals such as Frontiers in Immunology, Journal for ImmunoTherapy of Cancer, OncoImmunology, Translational Oncology and Frontiers in Cell and Developmental Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.